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Article

Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features.

Journal of the American Medical Informatics Association : JAMIA - 1 Jan 2025

Idnay Betina, Zhang Gongbo, Chen Fangyi, Ta Casey N, Schelke Matthew W, Marder Karen, Weng Chunhua

Abstract excerpt

OBJECTIVE: This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores, a widely adopted standard for cognitive assessment in patients with Alzheimer's disease, using natural language processing (NLP) and machine learning (ML) on structured and unstructured EHR data. MATERIALS AND METHODS: We extracted demographic data, diagnoses, medications, and unstructured clinical visit notes...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 39520712
DOI: 10.1093/jamia/ocae274
PMCID: PMC11648712

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